Ancient drawing printed matter color reproduction detection and evaluation method based on feature interpolation

An evaluation method and technology for printed matter, applied in the field of digitization of cultural relics and color reproduction, which can solve problems such as inaccurate color reproduction

CN112488997AActive Publication Date: 2021-03-12ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-03-12

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Abstract

The invention discloses an ancient drawing printed matter color reproduction detection and evaluation method based on feature interpolation, and the method comprises the steps: obtaining a typical color value in an ancient painting electronic reference sample through a clustering algorithm, making the typical color value into a color block, and typesetting the color block below the ancient painting electronic reference sample; carrying out printing and proofing under the same printing condition as formal printing to obtain an ancient painting printing sample; measuring the color value of a typical color block in the ancient painting printing sample by using a spectrophotometer, and calculating the color difference between the typical color block in the ancient painting electronic referencesample and the typical color block in the printing sample; and mapping a color difference value between the typical color blocks of the ancient drawing electronic reference sample and the printing sample to a pixel of the ancient drawing electronic reference sample through a feature interpolation algorithm. The method can achieve relatively high-accuracy quantitative evaluation of color reproduction of the ancient painting printed matter, and can meet the requirements of targeted quantitative analysis of color reproduction of ancient drawing.
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Description

technical field

[0001] The invention belongs to the field of digitization and color reproduction of cultural relics, and in particular relates to a method for detecting and evaluating color reproduction of ancient painting prints based on feature interpolation. Background technique

[0002] Cultural heritage contains rich historical, artistic and scientific value, and is an important carrier in cultural inheritance. Cultural heritage, especially material cultural heritage such as paintings, requires extremely high fidelity and integrity in the process of inheritance and dissemination. Only by realizing accurate expression can users understand correctly, and then conduct scientific research, display education and other purposes more accurately. Scientifically detecting, analyzing and evaluating the color reproduction degree and effect of ancient paintings and prints is a powerful guarantee to ensure the effective inheritance and dissemination of cultural heritage.

[0003] C...

Examples

Embodiment Construction

[0071] Due to the rarity of ancient paintings, there will be some constraints in the process of data collection to print and publication reproduction evaluation. Therefore, this invention only detects the color reproduction difference between the electronic reference samples and printed samples of ancient paintings when they are printed and published. and evaluation.

[0072] Such as figure 1 As shown, the ancient painting print color reproduction detection and evaluation method based on feature interpolation in this embodiment includes the following steps:

[0073] S1: if figure 2 shown. This method calls the openCv 2.1 API function double kmeans(InputArraydata, int K, InputOutputArray bestLabels, TermCriteria criteria, int attempts, intflags, OutputArray centers=noArray()), which is the implementation function of the kmeans clustering algorithm. The parameter data represents the original data set that needs to be clustered, one row represents a data sample, and each colu...